Staff Robot Controls Integration Engineer
About the role
We're looking for a Staff Robot Controls Integration Engineer to bridge our control algorithms with real-world hardware. This role integrates motor control stacks, real-time communication protocols, and sensing systems into a reliable platform.
Responsibilities
Control algorithm integration: Take control strategies from MATLAB/Simulink into real-time firmware on microcontrollers and real-time Linux systems.
Validate that implemented behavior matches design intent through dynamic testing and closed-loop validation.
Real-time protocol bringup: Integrate and commission communication buses (CAN, EtherCAT) connecting motor controllers, microcontrollers, and compute hardware.
Conduct encoder linearization, sensor calibration, and protocol timing verification to achieve reliable sub-millisecond latency.
Motor and actuator characterization: Work with firmware teams to validate motor performance — cogging torque compensation, field-oriented control tuning, friction modeling.
Create repeatable, automated tests that catch control instability and latency issues early.
Real-time performance profiling: Measure and optimize latency paths across the stack — firmware interrupt handlers, communication pipeline, control loops.
Identify and close timing violations that degrade control quality.
Troubleshooting and root-cause analysis: When robots exhibit unexpected behavior in the field, methodically isolate the cause and turn findings into durable fixes working alongside Firmware and Hardware teams.
Requirements
- Bachelor's degree in Electrical, Mechanical, or closely related engineering discipline.
- 8+ Years of experience working on at least one of the following areas:
- Hands-on motor controls: You've implemented or tuned PID loops, field-oriented control, torque control, or trajectory tracking on real hardware.
- Comfortable reasoning about poles, stability, and bandwidth.
- Real-time systems and firmware: You understand interrupt latency, real-time constraints, and the gap between algorithm and implementation.
- Experience with real-time Linux, microcontroller programming, or RTOS.
- Communication protocols: Solid experience with CAN, CAN FD, or EtherCAT — protocol analysis, debugging, timing verification.
- Solid background with CANoe, Vector tooling, or oscilloscope-based signal capture.
- Sensor integration and validation: You've brought up encoders, IMUs, force/torque sensors. Understand aliasing, noise filtering, calibration, and how sensor delay cascades into control performance.
- HiL and SIL: You design tests that matter — fault-injection tests that probe stability margins, saturation behavior, and graceful degradation.
- Control theory: You understand dynamics, Laplace transforms, Bode plots, poles and zeros. Can read a control diagram and reason about closed-loop behavior and system stability.
Qualifications
- Experience with EtherCAT, SOEM, Beckhoff hardware, or TwinCAT real-time platforms.
- Proficiency in MATLAB/Simulink for modeling, parameter identification, and control-system analysis.
- Python or C++ for test automation, firmware tooling, and data post-processing.
- Experience with motor characterization: cogging torque analysis, friction modeling, thermal dynamics.
- Familiarity with functional safety standards and how control performance ties into safety requirements.
- Prior experience supporting fielded systems, turning customer-reported instabilities into durable firmware fixes.